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constrained_foopsi_python

Python implementation of constrained deconvolution spike inference algorithm

Based on an earlier implementation from T. Machado https://github.com/losonczylab/sima/blob/master/sima/spikes.py

Requirements

NumPy
SciPy
CVXOPT (available at http://cvxopt.org/ )
PICOS (available at http://picos.zib.de/ )
MOSEK (available at https://www.mosek.com/ optional but strongly recommended, free for academic use)

License

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

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Python implementation of the constrained deconvolution algorithm

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